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Box-constrained multiobjective optimization using the elitist non-dominated sorting genetic algorithm - NSGA-II. Fast non-dominated sorting, crowding distance, tournament selection, simulated binary crossover, and polynomial mutation are called in the main program. The methods are described in Deb et al. (2002) <doi:10.1109/4235.996017>.
| Version: | 1.1 |
| Depends: | mco |
| Published: | 2022-05-23 |
| Author: | Ching-Shih (Vince) Tsou |
| Maintainer: | Ming-Chang (Alan) Lee <alan9956 at ydu.edu.tw> |
| License: | LGPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | nsga2R results |
| Reference manual: | nsga2R.pdf |
| Package source: | nsga2R_1.1.tar.gz |
| Windows binaries: | r-devel: nsga2R_1.1.zip, r-release: nsga2R_1.1.zip, r-oldrel: nsga2R_1.1.zip |
| macOS binaries: | r-release (arm64): nsga2R_1.1.tgz, r-oldrel (arm64): nsga2R_1.1.tgz, r-release (x86_64): nsga2R_1.1.tgz, r-oldrel (x86_64): nsga2R_1.1.tgz |
| Old sources: | nsga2R archive |
| Reverse imports: | GSgalgoR, MaOEA, mfpp, stablespec |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.